
The Credibility Crisis in Science
Tweakers, Fraudsters, and the Manipulation of Empirical Results
MIT Press
Will be published approx. on 17. March 2026
Book
Paperback/Softback
280 pages
978-0-262-05127-9 (ISBN)
Description
A novel perspective on scientific fraud—how undisclosed “tweaks” to research designs and model specifications fuel the credibility crisis in science.
In The Credibility Crisis in Science, leading social scientists Thomas Plümper and Eric Neumayer argue that the most impactful fraud is crucially under-recognized. While data fabrication and manipulation are widely recognized as fraudulent, “tweaks”—the intentional selection of research designs and model specifications based on the results they give—are not. As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe.
The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. They also argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. They put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified; and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.
In The Credibility Crisis in Science, leading social scientists Thomas Plümper and Eric Neumayer argue that the most impactful fraud is crucially under-recognized. While data fabrication and manipulation are widely recognized as fraudulent, “tweaks”—the intentional selection of research designs and model specifications based on the results they give—are not. As a consequence, the credibility crisis in science is even more severe than both scientists and the public believe.
The authors show how easily observational data analyses, experimental designs, and causal models are tweaked in ways that are extremely difficult, often impossible, to detect. They also argue that conventional strategies to deter, prevent, and detect fraud will not work for tweaks. They put forth two potential solutions: first, a classification system that categorizes data based on its susceptibility to manipulation and the probability of such manipulation being identified; and second, the proposal that journal editors and reviewers, rather than authors, select robustness tests.
More details
Language
English
Place of publication
Cambridge (Massachusetts)
United States
Publishing group
MIT Press Ltd
Illustrations
10
Dimensions
Height: 229 mm
Width: 152 mm
Weight
369 gr
ISBN-13
978-0-262-05127-9 (9780262051279)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Thomas Plümper | Eric Neumayer
The Credibility Crisis in Science
Tweakers, Fraudsters, and the Manipulation of Empirical Results
E-Book
03/2026
MIT Press
€38.99
Available for download
Persons
Thomas Plümper and Eric Neumayer
Content
Preface
Part One: Is Science Broken?
Chapter 1: Scientific Integrity and its Discontents
Chapter 2: Fraudsters’ Motives
Chapter 3: The Tip of the Tip of the Iceberg
Chapter 4: Causes of Detection
Part Two: Researcher Degrees of Freedom
Chapter 5: Tweaking in Observational Data Analyses
Chapter 6: Tweaking in Experimental Research Designs
Chapter 7: Tweaking in Causal Models
Part Three: Countering Fraud
Chapter 8: Deterrence Policies
Chapter 9: Prevention Plans
Chapter 10: Detection Strategies
Chapter 11: Two Steps Forward
Chapter 12: And One Step Back?
Bibliography
Notes
Part One: Is Science Broken?
Chapter 1: Scientific Integrity and its Discontents
Chapter 2: Fraudsters’ Motives
Chapter 3: The Tip of the Tip of the Iceberg
Chapter 4: Causes of Detection
Part Two: Researcher Degrees of Freedom
Chapter 5: Tweaking in Observational Data Analyses
Chapter 6: Tweaking in Experimental Research Designs
Chapter 7: Tweaking in Causal Models
Part Three: Countering Fraud
Chapter 8: Deterrence Policies
Chapter 9: Prevention Plans
Chapter 10: Detection Strategies
Chapter 11: Two Steps Forward
Chapter 12: And One Step Back?
Bibliography
Notes